Towards the prediction of molecular parameters from astronomical emission lines using Neural Networks - Barrientos, Alejandro; Holdship, Jonathan; Solar, Mauricio; Martín, Sergio; Rivilla, Víctor M.; Viti, Serena; Mangum, Jeff; Harada, Nanase; Sakamoto, Kazushi; Muller, Sébastien; Tanaka, Kunihiko; Yoshimura, Yuki; et al. (Experimental astronomy, 2021)
Keywords: ALCHEMI; Algorithms; Arrays; Astronomy; Carbon monoxide; Chemistry and Earth Sciences; Computer Science; Cubes; Density; Excitation; Machine learning; MADCUBA; Molecular astronomy; Molecular parameters; Neural networks; Noise levels; Noise prediction; Observations and Techniques; Observatories; Original Article; Parameters; Performance prediction; Physics; Physics and Astronomy; Radio telescopes; Spectra; Spectral resolution; Spectrum analysis; Statistics for Engineering; MADCUBA; Molecular parameters; Neural networks; Molecular astronomy; ALCHEMI; Machine learning